Prediction of protein subcellular localization

    • Use deep learning tools to accurately identify the organelles where proteins are located in human protein fluorescence micrographs
    • The trained model was executed on the Atlas 200 DK developer kit, and use Atlas 200 DK
    • The model analyses unlabelled protein fluorescence and predicts the location of sub-cells with pictures
    • Protein subcellular localisation prediction targets the microscopic fluorescence images of proteins in cancer tissues and other tissues to identify the localisation of proteins; to find location markers related to cancer

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